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potential progression once in post to £48,822 Grade: 7 Full Time, Fixed Term contract up to June 2028 Closing date: 17th September 2026 Background This role is part of the philanthropically funded programme
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the contract starts; you can apply for these positions already before you have your degree. We value expertise in domains such as graph algorithms, parallel algorithms, computational complexity theory, models
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can apply for these positions already before you have your degree. We value expertise in domains such as graph algorithms, parallel algorithms, computational complexity theory, models of computing
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. Full-Time, Permanent The Department of Computing, Security and Mathematics at Royal Holloway, University of London is looking to appoint a lecturer in Computer Science to support its research and
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-omic molecular profiling, including genetics, transcriptomics, microbiomics, metabolomics, and immune system markers. The division leverages this data and advanced AI, medical, and computational models
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and algorithmic framework to assess and improve the resilience of FL-enabled autonomous systems under such heterogeneity, explicitly incorporating the human in the loop. The project will draw
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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actuation, feedback and computation across their soft bodies, blurring the boundary between material and machine. Our work hints that key platforms to capture such material intelligence are ‘robotic materials
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analyse observational/real world data to develop mapping algorithms between health outcomes (such as EQ-5D) and measures of wellbeing/independence. You will apply these mapping algorithms to expenditure
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Technology (DST), and the Universities of Amsterdam, Augsburg, Melbourne and Oldenburg. Based in Sheffield’s School of Computer Science, the post holder will work with Professor John Derrick (principal